{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "sns.set(color_codes=True)\n",
    "from sklearn.metrics import mean_squared_error as mse\n",
    "from sklearn.preprocessing import Imputer\n",
    "from sklearn.preprocessing import LabelBinarizer,OneHotEncoder\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from pylab import mpl\n",
    "mpl.rcParams['font.sans-serif'] = ['FangSong'] # 指定默认字体\n",
    "mpl.rcParams['axes.unicode_minus'] = False # 解决保存图像是负号'-'显示为方块的问题\n",
    "mpl.rcParams['axes.titlesize'] = 16\n",
    "\n",
    "# 设置jupyter数据框最大显示的列数\n",
    "pd.set_option('max_columns',100)\n",
    "train_data = pd.read_csv('../train_data.csv',encoding='gb2312')\n",
    "targets = pd.read_csv('../targets.csv',encoding='gb2312')\n",
    "train_data.drop(['体检日期'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tau = 7.5\n",
    "train_up = train_data[targets['血糖']>tau]\n",
    "train = train_data[targets['血糖']<=tau]\n",
    "targets_up = targets[targets['血糖']>tau]\n",
    "target = targets[targets['血糖']<=tau]\n",
    "# label = np.where(targets['血糖']>7,1,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\ttrain-auc:0.51917\n",
      "Will train until train-auc hasn't improved in 50 rounds.\n",
      "[1]\ttrain-auc:0.530292\n",
      "[2]\ttrain-auc:0.537833\n",
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      "[7]\ttrain-auc:0.56132\n",
      "[8]\ttrain-auc:0.561193\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:10: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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    {
     "name": "stdout",
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     ]
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.metrics import f1_score,roc_curve,auc\n",
    "from sklearn.cross_validation import train_test_split\n",
    "from xgboost.sklearn import XGBClassifier\n",
    "import xgboost as xgb_class\n",
    "\n",
    "#  划分样本集\n",
    "train_x,test_x,train_y,test_y = train_test_split(train_data,targets,test_size=0.18,random_state=66)\n",
    "tau = 7\n",
    "train_up = train_x[targets['血糖']>tau]\n",
    "targets_up = targets[targets['血糖']>tau]\n",
    "train_labels = np.where(train_y>tau,1,0)\n",
    "test_labels = np.where(test_y>tau,1,0)\n",
    "scale_weight = float(len(train_labels)-train_labels.sum())/train_labels.sum()\n",
    "# label = np.where(targets['血糖']>7,1,0)\n",
    "dtrain = xgboost.DMatrix(train_x,label=train_labels)\n",
    "dtest = xgboost.DMatrix(test_x)\n",
    "watchlist  = [(dtrain,'train')]\n",
    "# 设置参数\n",
    "params={'booster':'gbtree',\n",
    "    'objective': 'binary:logistic',\n",
    "    'eval_metric': 'auc',\n",
    "    'max_depth':4,\n",
    "    'lambda':200,\n",
    "    'subsample':0.75,\n",
    "    'colsample_bytree':0.7,\n",
    "    'eta': 0.01,#0.002\n",
    "    'seed':1024,\n",
    "    'nthread':3,\n",
    "    'reg_alpha':0.1\n",
    "    }\n",
    "xgb = xgboost.train(params,dtrain,num_boost_round=2000,evals=watchlist,early_stopping_rounds=50)\n",
    "# cv_log = xgboost.cv(params,dtrain,num_boost_round=2000,nfold=4,metrics='auc',early_stopping_rounds=50,seed=1024)\n",
    "# plt.plot(cv_log.index,cv_log['test-auc-mean'],label='test_auc')\n",
    "# plt.plot(cv_log.index,cv_log['train-auc-mean'],label='train_auc')\n",
    "# plt.legend(loc='upper right')\n",
    "# plt.show()\n",
    "# 训练\n",
    "# xgb.train(train_x, train_labels)\n",
    "# 预测\n",
    "# pre_y = xgboost.predict_proba(test_x)[:,1]\n",
    "# pre_y_categ = xgboost.predict(test_x)\n",
    "# # 计算auc\n",
    "# fpr, tpr, thresholds = roc_curve(test_y, pre_y)\n",
    "# auc=auc(fpr, tpr)\n",
    "# f1 = f1_score(test_y,pre_y_categ)\n",
    "# print(\"AUC得分为：\")\n",
    "# print(auc)\n",
    "# print('f1-score为：')\n",
    "# print(f1)\n",
    "# # 画出特征重要性图\n",
    "# features = list(train_data.columns)\n",
    "# feature_important = xgb.feature_importances_\n",
    "# df_feature = pd.DataFrame({'features':features,'feature_important':feature_important})\n",
    "# df_feature.sort_values(by='feature_important',inplace=True)\n",
    "# plt.figure(figsize=(10,20))\n",
    "# plt.barh(np.arange(len(features)),df_feature['feature_important'])\n",
    "# plt.yticks(np.arange(len(features)),df_feature['features'],fontsize=9,rotation=15)\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1710, 1)"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/l8OViIiITObqgK0P5s4Lez56weFKREREJnN1wDaNHgvbHdOJ10VEpLi4OmBX1uZOvD6Q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\nJJSWWHsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x244bb1d82e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 训练一个针对值比较高的回归器\n",
    "from xgboost.sklearn import XGBRegressor\n",
    "# from sklearn.metrics import f1_score\n",
    "from sklearn.cross_validation import train_test_split\n",
    "from sklearn.model_selection import cross_val_score\n",
    "import xgboost as xgb_high\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "\n",
    "#  划分样本集\n",
    "data_high = train_data[targets['血糖']>targets['血糖'].mean()]\n",
    "targets_high = targets[targets['血糖']>targets['血糖'].mean()]\n",
    "train_x,test_x,train_y,test_y = train_test_split(data_high,targets_high,test_size=0.18,random_state=66)\n",
    "#training xgboost\n",
    "dtrain = xgb_high.DMatrix(train_x,label=train_y)\n",
    "dtest = xgb_high.DMatrix(test_x)\n",
    "# 交叉验证\n",
    "params={'booster':'gbtree',\n",
    "    'objective': 'reg:linear',\n",
    "    'eval_metric': 'rmse',\n",
    "    'max_depth':3,\n",
    "    'lambda':200,\n",
    "    'subsample':0.85,\n",
    "    'colsample_bytree':0.7,\n",
    "    'eta': 0.01,#0.002\n",
    "    'seed':1024,\n",
    "    'nthread':3,\n",
    "    'reg_alpha':0\n",
    "    }\n",
    "\n",
    "# 设置参数\n",
    "watchlist  = [(dtrain,'train')]\n",
    "\n",
    "#通过cv找最佳的nround\n",
    "cv_log = xgb_high.cv(params,dtrain,num_boost_round=2500,nfold=4,metrics='rmse',early_stopping_rounds=50,seed=1024)\n",
    "# bst_rmse= cv_log['test-rmse-mean'].min()\n",
    "# cv_log['nb'] = cv_log.index\n",
    "# cv_log.index = cv_log['test-rmse-mean']\n",
    "# bst_nb = cv_log.nb.to_dict()[bst_rmse]\n",
    "# model = xgb_high.train(params,dtrain,num_boost_round=500,evals=watchlist,early_stopping_rounds=50)\n",
    "# pre_y_xgb = model.predict(dtest)\n",
    "# plt.figure(figsize=(15,30))\n",
    "# xgb.plot_importance(cv_log)\n",
    "plt.plot(cv_log.index,cv_log['test-rmse-mean'],label='test_rmse')\n",
    "plt.plot(cv_log.index,cv_log['train-rmse-mean'],label='train_rmse')\n",
    "plt.legend(loc='upper right')\n",
    "plt.show()\n",
    "\n",
    "# 交叉验证输出\n",
    "\n",
    "# pre_train_y = xgb.predict(train_x)\n",
    "# print(mse(train_y,pre_train_y))\n",
    "\n",
    "#predict test set\n",
    "# pre_y = model.predict(dtest)\n",
    "# print(mse(test_y,pre_y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([2414, 3395, 1274, 4630, 4742, 3086, 4603,  641, 4673, 5169,\n",
       "            ...\n",
       "            2881, 5211, 5062, 5160, 4714, 2243, 3763, 4689,  929, 2049],\n",
       "           dtype='int64', length=308)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# pre_y = xgboost.predict_proba(test_x)[:,1]\n",
    "pro_y = xgb.predict(dtest)\n",
    "# sum(test_y == pre_y)/test_y.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1016,)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pre_y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8441558441558441"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import recall_score\n",
    "pre_y = np.where(pro_y>0.07,1,0)\n",
    "recall_score(test_labels,pre_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.39135058489897201"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(pre_y)/pre_y.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.6564000000000005"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2.58*2.58"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\utils\\validation.py:526: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
      "  y = column_or_1d(y, warn=True)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test_mse: 6.4541877439\n",
      "train_mse: 2.89526134937\n"
     ]
    },
    {
     "data": {
      "image/png": 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Azps3j+LiYtavX097ezvjxo0za1MiIkHJtCECq9XKAw88YFbzIiJBT1dyiYiY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\nFRExiQJWRMQkClgREZMoYEVETPL/ACEeXD51QtbyAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23a2b0c1320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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9M53hcJhwOEw2m/36PXsIlMtlrly5Qi6XY2ZmBqfTSUNDA8lkkmw2i9vtNruJ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\nuecYGBhgYWGB3t5eent7uXLlCslkkj179tDU1ERvby82m60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QCBCJRBgYGMDtdhMMBjEY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gAWi4VDhw7x85//nB//+McMDg5is9kIBAIAhMNhXnvtNTKZDPv372d+fp7l5WV27drF7OwsAB6P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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23a2ab47828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "from sklearn.cross_validation import train_test_split\n",
    "from sklearn.linear_model import Ridge,LinearRegression,ElasticNet\n",
    "from sklearn.kernel_ridge import KernelRidge\n",
    "from sklearn.preprocessing import StandardScaler,MinMaxScaler\n",
    "from sklearn.ensemble import GradientBoostingRegressor\n",
    "# Fit regression mo#  划分样本集\n",
    "# train_x,test_x,train_y,test_y = train_test_split(train_data,targets,test_size=0.3,random_state=66)\n",
    "train_up = MinMaxScaler().fit_transform(train_up)\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "\n",
    "# poly = PolynomialFeatures(2)\n",
    "# train_up = poly.fit_transform(train_up)\n",
    "train_x,test_x,train_y,test_y = train_test_split(train_up,targets_up,test_size=0.3,random_state=66)\n",
    "# train_x0,test_x0,train_y0,test_y0 = train_test_split(train,target,test_size=0.3,random_state=66)\n",
    "\n",
    "def learner(clf):\n",
    "    # 训练\n",
    "    clf.fit(train_x, train_y)\n",
    "\n",
    "    # 预测\n",
    "    pre_y = clf.predict(test_x)\n",
    "    print('test_mse:',mse(test_y,pre_y))\n",
    "    pre_train_y = clf.predict(train_x)\n",
    "    print('train_mse:',mse(train_y,pre_train_y))\n",
    "    return clf,pre_y,pre_train_y\n",
    "# clf = ElasticNet(alpha=0.01,l1_ratio=0.05)\n",
    "# (clf,pre_y,pre_train_y)=learner(clf)\n",
    "# KR = KernelRidge()\n",
    "params = {'n_estimators': 20, 'max_depth': 6, 'min_samples_split': 2,\n",
    "          'learning_rate': 0.08, 'loss': 'huber','warm_start':True,'alpha':0.9}\n",
    "gbdt = GradientBoostingRegressor(**params)\n",
    "(gbdt,pre_y,pre_train_y) = learner(gbdt)\n",
    "test_score = np.zeros((params['n_estimators'],), dtype=np.float64)\n",
    "train_score = np.zeros((params['n_estimators'],), dtype=np.float64)\n",
    "for i, pre_y in enumerate(gbdt.staged_predict(test_x)):\n",
    "    test_score[i] = mse(test_y, pre_y)\n",
    "for i, pre_train_y in enumerate(gbdt.staged_predict(train_x)):\n",
    "    train_score[i] = mse(train_y, pre_train_y)\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title('Deviance')\n",
    "plt.plot(np.arange(params['n_estimators']) + 1, gbdt.train_score_, 'b-',\n",
    "         label='Training Set Deviance')\n",
    "plt.plot(np.arange(params['n_estimators']) + 1, test_score, 'r-',\n",
    "         label='Test Set Deviance')\n",
    "plt.legend(loc='upper right')\n",
    "plt.xlabel('Boosting Iterations')\n",
    "plt.ylabel('Deviance')\n",
    "# # 画出特征重要性图\n",
    "features = list(train_data.columns)\n",
    "feature_important = gbdt.feature_importances_\n",
    "df_feature = pd.DataFrame({'features':features,'feature_important':feature_important})\n",
    "df_feature.sort_values(by='feature_important',inplace=True)\n",
    "plt.figure(figsize=(10,20))\n",
    "plt.barh(np.arange(len(features)),df_feature['feature_important'])\n",
    "plt.yticks(np.arange(len(features)),df_feature['features'],fontsize=9,rotation=15)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "?ElasticNet()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+zKiq42siIgoXSyUpDAzciMiXIIZn2wOKuGTc5DZlVSWxAQ8HcBMRRcPMuPG4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SSFnk0qOQ60aG0npt6VPnKRQ7IyUKUYmR43zwx+t89/4RLpFHPCJiTh1QR+NeYkxLg19/LazCDt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\nwvn/AalkAHokY3oHAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23a2a58c7f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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NyD72sY/pYx/7WOB3t912W8saBKQVMRjQOPP4oagHAAAldVMWARS4RqIiwRkQ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\nAEARQQYAAFBEkAEAABT5APc8ysnIIQY9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23a2b129898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\ProgramData\\Anaconda3\\lib\\site-packages\\statsmodels\\nonparametric\\kdetools.py:20: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n",
      "  y = X[:m/2+1] + np.r_[0,X[m/2+1:],0]*1j\n"
     ]
    },
    {
     "data": {
      "image/png": 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MdFetFAWxiEh+UhDnSGzkEogznzVdioFBb7Qvm8USERGXKYhzZLRFPMN1xF7T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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x23a2b44c278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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jCuIEIrcvGQk39ABwmRYhbeghIiIZUBAn4OAkrYYB3KabYFhBLCIiM6cgTsBx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\nep1NGAc7o4oYoLDIobjE5u3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      "text/plain": [
       "<matplotlib.figure.Figure at 0x23a2acc5320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,6))\n",
    "plt.plot(np.arange(test_y.shape[0])+1,test_y,label='real')\n",
    "plt.plot(np.arange(pre_y.shape[0])+1,pre_y,label='predict')\n",
    "plt.legend(loc='upper right')\n",
    "plt.title('测试集')\n",
    "plt.show()\n",
    "plt.figure(figsize=(15,6))\n",
    "plt.plot(np.arange(train_y.shape[0])+1,train_y,label='real')\n",
    "plt.plot(np.arange(pre_train_y.shape[0])+1,pre_train_y,label='predict')\n",
    "plt.legend(loc='upper right')\n",
    "plt.title('测试集')\n",
    "plt.show()\n",
    "sns.distplot(test_y,label='test_y')\n",
    "sns.distplot(pre_y,label='pre_y')\n",
    "plt.title('测试集')\n",
    "plt.legend(loc='upper right')\n",
    "plt.show()\n",
    "sns.distplot(train_y,label='train_y')\n",
    "sns.distplot(pre_train_y,label='pre_train_y')\n",
    "plt.title('训练集')\n",
    "plt.legend(loc='upper right')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.27752738785\n",
      "0.267443329834\n"
     ]
    }
   ],
   "source": [
    "train_x,test_x,train_y,test_y = train_test_split(train,target,test_size=0.3,random_state=66)\n",
    "KR0 = LinearRegression()\n",
    "KR0.fit(train_x, train_y)\n",
    "pre_y= KR0.predict(test_x)\n",
    "# pre_y[pre_y>30] = targets.mean()\n",
    "# 预测\n",
    "mse_test =mse(test_y,pre_y)\n",
    "print(mse_test)\n",
    "pre_train_y = KR0.predict(train_x)\n",
    "# pre_train_y[pre_train_y>30] = targets.mean()\n",
    "mse_train = mse(train_y,pre_train_y)\n",
    "print(mse_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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